1183 search results - page 39 / 237 » Learning Process Models with Missing Data |
157
Voted
EMNLP
2010
15 years 13 days ago
2010
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
192
click to vote
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
In the past decade there has been a great interest in a synthesis-based model for signals, based on sparse and redundant representations. Such a model assumes that the signal of i...
126
click to vote
ICGI
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
155
Voted
ICIP
2007
IEEE
16 years 4 months ago
2007
IEEE
Tracking 3D people from monocular video is often poorly constrained. To mitigate this problem, prior knowledge should be exploited. In this paper, the Gaussian process spatio-temp...
133
click to vote
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...